AutoGrant AI Judge
Make a defensible pursuit decision before the writing starts.
AI Judge evaluates whether an opportunity is eligible, aligned, deliverable, competitive, and strategically worthwhile. It shows the reasoning, missing information, risks, and conditions behind the result so your team can make a better human decision.
AI Judge supports a human pursuit decision. It does not predict the future or guarantee an award.
Why go/no-go matters
Every weak pursuit consumes capacity that could have strengthened a better one.
Organizations often begin writing because a deadline is close, a keyword matches, or someone forwarded a notice. Problems surface later:
- The organization is not truly eligible.
- The work does not match the funder's actual priorities.
- Required data, partners, registrations, or match are missing.
- The delivery or reporting burden exceeds capacity.
- The likely field is stronger than expected.
- The award would pull the organization away from strategy.
- The opportunity is promising, but not yet ready.
AI Judge makes those questions visible before the largest investment of time.
The dimensions
What AI Judge evaluates before your team commits.
Eligibility
Applicant type, geography, registration, revenue or size rules, partnership, match, program exclusions, deadlines, and other threshold requirements.
Mission alignment
The relationship between the funder's intent and the organization's actual programs, populations, outcomes, geography, and strategic priorities.
Capacity fit
Staffing, partnerships, data, delivery model, financial administration, reporting, timeline, facilities, systems, and leadership attention.
Competitive position
Differentiators, track record, prior awards, geographic relevance, partnerships, evidence quality, incumbent strength, and visible field conditions.
Strategic value
Mission advancement, long-term funding path, relationship value, evidence-building potential, restrictions, opportunity cost, and obligations.
Evidence confidence
What is known, inferred, missing, stale, or dependent on human confirmation.
Sample scorecard
Regional Youth Workforce Innovation Initiative
Eligibility: ConfirmedApplicant type and geography meet the published criteria. The organization must verify that the employer partner meets the required role before submission.
- Mission alignment
- 91/100
- Capacity fit
- 72/100
- Competitive position
- 58/100
- Strategic value
- 86/100
The funder's youth-workforce priority maps directly to the organization's core program, target population, service area, and outcomes.
The delivery model is credible. Quarterly performance reporting requires a named data owner and a clearer participant-tracking process.
The organization has strong local partnerships and lived experience. The likely field includes larger prior grantees with more formal longitudinal data.
A win would expand a core program and establish evidence and funder history for a larger multi-year opportunity.
Verdict: Pursue with conditions
Proceed after:
- 1Confirming the required employer partner.
- 2Naming the data owner.
- 3Documenting the match.
- 4Strengthening longitudinal outcomes evidence.
- 5Scheduling a program-officer conversation where permitted.
The output
Every scorecard should show
- Final verdict
- Eligibility status
- Dimension scores or structured assessments
- Rationale
- Sources and assumptions
- Missing information
- Risks and disqualifiers
- Conditions required before pursuit
- Questions for the funder
- Readiness actions
- Human decision and decision owner
- Date and version
A team member can challenge the analysis, add relationship context, correct facts, and record a different final decision with rationale.
Honest boundaries
What AI Judge is not
- A guarantee of award
- A mathematical probability unless a separately validated model supports that claim
- A substitute for legal or program guidance
- A replacement for a funder conversation
- A reason to pursue every high-scoring opportunity
- An autonomous executive decision
It is a transparent decision-support process that makes the basis of a pursuit visible.
From decision to work
The decision record stays connected to the work.
Once the team approves the pursuit, AutoGrant can carry the opportunity into:
The decision record remains connected to the work, so the team can see what it believed, what conditions were resolved, and what changed.
- 1Solicitation requirements
- 2Evidence and information requests
- 3Owners and dependencies
- 4Drafting plan
- 5Budget coordination
- 6Review gates
- 7Submission readiness
- 8Award obligations and reporting
Across organizations
The go/no-go question your team is actually asking.
Nonprofit
Is the opportunity aligned to a real program, and can the team provide the outcomes and reporting required?
Municipality
Is the project ready, eligible, funded for match, approved across departments, and deliverable within the performance period?
Rural hospital
Does the opportunity fit community need, clinical strategy, workforce, partners, data, and operating capacity?
Research team
Does the topic fit the science and sponsor intent, and can the institution meet routing, compliance, data, budget, and submission requirements?
Startup
Does the topic fit the technical roadmap and commercialization strategy, or would it create grant-shaped work that distracts from the company?
Keep exploring
Bring the opportunity your team is debating.
We will prepare a preliminary AI Judge scorecard and walk through the evidence, assumptions, risks, and conditions in a 20-minute working session.